AI Engineer

We’re a team of 500+ professionals who develop cutting-edge web data gathering solutions for thousands of the world’s best known businesses, including Fortune 500 companies.

What’s in store for you:

As our first AI Engineer, you'll be diving into the technical challenges of building internal AI-powered systems to help us make better informed business decisions at Oxylabs.io.

This is an excellent opportunity for an analytical thinker who enjoys hands-on technical work, has a passion for AI technologies, is eager to learn more and wants to make a meaningful impact. You'll work with various agent frameworks and vector databases, leveraging the latest AI models (incl. Open AI’s GPT, Anthropic’s Claude, Perplexity’s Sonar and Meta’s Lllama) to build tools that our commercial teams will use daily.

Our tech stack*:

Google Cloud Platform (Pub/Sub, GCS, BQ) for ingestion, storage and warehousing;
dbt and SQL for data modelling;
PowerBI and Superset for data visualisation
Python for automation;
Airflow for orchestration;
Kubernetes/Argo CD for deployment;
Streamlit for data applications;
LangChain for agentic pipelines;
Ollama for running local LLMs;
nexos.ai for LLM routing
We do not expect candidates to master or know all of the technologies today

Your day-to-day:

Build custom scalable LLM applications using Python that leverage vector databases and RAG techniques for efficient knowledge retrieval;
Build and maintain robust data pipelines that feed AI models with high-quality public information;
Fine-tune and optimize prompt strategies to enhance accuracy, reliability and efficiency of LLM outputs;
Evaluate and benchmark different AI models to ensure our solutions deliver accurate results while remaining secure and scalable;
Conduct research and rapid prototyping with new LLM technologies and frameworks to keep our AI capabilities at the cutting edge;
Collaborate with cross-functional teams to identify AI-driven opportunities and integrate solutions into their operations;
Develop internal documentation and best practices for AI implementation across the company

Your skills and experiences:

Strong proficiency in Python;
Experience with LLMs and AI application development;
Familiarity with SQL and main data modelling/data warehousing principles;
Experience with cloud infrastructure (ideally, Google Cloud);
Knowledge of best DataOps practices and tools incl. version control systems (e.g., Git), Docker and CI/CD;
You have an interest and passion for AI, as evidenced by personal projects or academic research;
You have a technical aptitude and don’t shy away from engineering-related discussions;
You have a keen eye for detail and troubleshooting as well as a high degree of ownership;
You have a structured mindset approach to solve any kind of problem and able present its outcome in a clear and concise way;
You have an ability to prototype solutions quickly and translate them into production-ready code;
You’re excellent at communicating in both written and spoken Lithuanian and English

It's a bonus, if you have the following:

Familiarity with agent frameworks such as LangChain, LlamaIndex or n8n.io;
Proficiency in deploying and optimizing open-source AI models (e.g., LLama) along with familiarity with related tooling (e.g., Ollama);
Experience with prompt engineering and fine-tuning LLM models;
Background in machine learning beyond LLMs (e.g., computer vision, traditional ML);
Experience with front-end development frameworks (e.g., React)

Salary:

Gross salary 3400-5000 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and experience

Up for the challenge? Let’s talk!

Key Skills

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